Algorithms and their HyperParameters

ALGORITHMS and PARAMETERS
Scaling	Scaling before applying ML algorithms is very important. The main advantage of scaling is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges and to avoid numerical difficulties during the calculation. we perform linear scaling that is scale range [-1,1].
Tune Param	Proper choice of C and gamma is critical to the SVM's performance. The user is advised to select Tune Param . On selecting Tune Param - you are performing cross-validation and Grid Search. You can consider speed as step length between two consecutive values C and gamma.

ALGORITHMS and PARAMETERS

Scaling

Scaling before applying ML algorithms is very important. The main advantage of scaling is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges and to avoid numerical difficulties during the calculation.

we perform linear scaling that is scale range [-1,1].

Tune Param

Proper choice of C and gamma is critical to the SVM's performance. The user is advised to select Tune Param .

On selecting Tune Param - you are performing cross-validation and Grid Search. You can consider speed as step length between two consecutive values C and gamma.